CAHR: A contextually adaptive home-based rehabilitation framework

Ali Karime, Mohamad Eid, Haiwei Dong, Mohamad Halimi, Wail Gueaieb, Abdulmotaleb El Saddik

Research output: Contribution to journalArticlepeer-review

Abstract

Home-based rehabilitation has evolved in recent years as a cost-effective and convenient alternative to traditional clinical rehabilitation. This has consequently created the need to design reliable assessment and adaptation mechanisms that are able to measure and analyze the patient's performance and to accordingly make proper adjustments that conform to the abilities of the patient during the training. This paper proposes a novel context-based adaptive home-based rehabilitation framework to optimize recovery based on patient's performance and ambient conditions. Adaptation is mathematically modeled to configure the rehabilitation task based on user's psychophysiological and environmental conditions. A prototype of the framework is tested for three weeks by two patients with wrist deficiencies. The results obtained are promising and indicate that the proposed framework may be very beneficial for home-based rehabilitation.

Original languageEnglish (US)
Article number6874554
Pages (from-to)427-438
Number of pages12
JournalIEEE Transactions on Instrumentation and Measurement
Volume64
Issue number2
DOIs
StatePublished - Feb 1 2015

Keywords

  • Cloud rehabilitation
  • intelligent adaptation
  • medical measurement
  • rehabilitation framework
  • tangible user interface

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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